Wang, Zitai

10 publications

ICML 2025 ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang

AAAI 2025 EDGE: Unknown-Aware Multi-Label Learning by Energy Distribution Gap Expansion Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He

ICML 2025 Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang

ICML 2025 OpenworldAUC: Towards Unified Evaluation and Optimization for Open-World Prompt Tuning Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang

AAAI 2024 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

ICML 2024 Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-Tail Recognition Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang

NeurIPS 2024 Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang

NeurIPS 2024 Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang

NeurIPS 2023 A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

NeurIPS 2022 OpenAUC: Towards AUC-Oriented Open-Set Recognition Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang